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The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
I love machine learning algorithms. I've taught classes and seminars and given talks on ML. The subject is fascinating to me, but like all skills fascination simply isn't enough. To get good at something, you need to practice! I also happen to be a PHP and JavaScript developer.
Understanding deep learning requires re-thinking generalization Zhang et al., ICLR’17 This paper has a wonderful combination of properties: the results are easy to understand, somewhat surpri…
I recently tried refine, an AI tool for refining academic articles, developed by Yann Calvó López and Ben Golub.
Google could do more than just win the chatbot war: it is the one company that could make a universal assistant. The question is if the company is willing to risk it all.
Why SaaS business is now a harness one.
Another question might be; why do machine learning at all? I'm not big into ML/AI though I've been poking it more recently as the open models, such as Stable Diffusion and the more practical Whisper, caught my curiosity. I have a very decent GPU (3090 Ti) and I've poked around a bit. I don't consider ML a super…
OpenAI partially released a new model yesterday called GPT-5-Codex-Mini, which they describe as "a more compact and cost-efficient version of GPT-5-Codex". It’s currently only available via their Codex CLI tool …
Lessons from An Unexpected Year in AI
Struggling to finish side projects due to limited time? In my latest blog post, I share how I improved my productivity using AI tools like LLMs and Cursor IDE. Learn to refine specs, bootstrap code, and iterate effectively to rapidly build and deploy your projects—even with a busy schedule.
This is the first part of a three part introductory tutorial on artificial neural networks. In this first tutorial we will discover what neural networks are, why they're useful for solving certain types of tasks and finally how they work.
Transformer-based large language models are relatively easy to understand. You break language down into a finite set of “tokens” (words or sub-word components…
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
(Disclaimer: I am a transhumanist skeptic these days, not to mention a singularity curmudgeon and a critic of Mars colonization, but I still find these ideas nice to chew on sometimes.)
How I built Context—a native macOS SwiftUI app for debugging MCP servers—almost entirely with Claude Code, and what I learned about building with AI coding agents.
People have been making fun of OpenAI models for being overly sycophantic for months now. I even wrote a post advising users to pretend that their work was…
Several days ago, DeepSeek released a new OCR paper. OCR, or “optical character recognition”, is the process of converting an image of text — say, a scanned…
I just got back from a 24hr trip to Los Angeles to catch my favorite Portland Thorns team, watching them clinch their playoff spot in a match at BMO stadium in downtown Los Angeles. In May of 2024, I did the same trip to catch a match on Mother's
Link to: https://www.nytimes.com/2024/05/24/technology/google-ai-overview-search.html
One reason I became a historian is the joy of encountering moments in the past that are foreign, yet also oddly familiar.
I gave a talk last month at the Story Discovery at Scale data journalism conference hosted at Stanford by Big Local News. My brief was to go deep into the …
Hi, welcome to my website! This is where I share my thoughts on things that interest me, mostly tech, philosophy, history, and math.
Restate Some Basic Concepts and Math in Bayesian Filter
A study by Google's DeepMind and the University of Illinois at Urbana-Champaign has found that self-correction in large language models (LLMs) isn't universally effective.
